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This article presents a stochastic bi-objective supply chain design model for the efficient (cost minimizing) and effective (delivery time minimizing) supply of blood in disasters.
The ideal supply chain will synchronize aggregate patient-level drug demand with the flow of pharmaceuticals from suppliers, reducing inventory investment along the chain, and improving patient care by minimizing supply shortages.
A mixed integer linear programming (MILP) model is developed for the optimal design with the objective of minimizing supply chain total energy input.
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Main intend of this work is to minimize supply requirement with increased linearity.
Ventilation ducts are integrated into the modular panels to minimize supply ductworks in apartments.
In the global chemical industry it is of crucial importance to keep an up-to-date knowledge map of customers and providers in order to minimize supply chain inefficiencies.
Simulation based optimization are extensively employed to enrich the performance of the inferior nodes close to achievable benchmark standards by minimizing the supply chain cost.
The ILS, which replaced the former kit system in the mid-2000s, was expected to improve the drug availability at health facilities by minimizing the supply of drugs which are not used frequently.
Supply cost minimization: minimize the nutrient supply fS to satisfy a given ATP production demand fATP, subject to the solvent capacity constraint.
By running the model through several simulations, an "optimum parking price level" – that which minimizes supply excesses/shortages while also ensuring that revenue generated meets at least the annual operations and maintenance costs – was determined for each parking permit on campus.
While previous research on this topic mainly included a single objective optimization model where the objective was either to minimize total supply chain costs or to maximize total supply chain benefits, in this research a fair profit contract is designed for the manufacturer and the retailers.
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